QBM120 Business Data Analysis (8)

Abstract

This subject has been designed to equip students with quantitative and statistical skills that are needed in other subjects in their courses; business environments; and life more broadly. Beginning with an overview of practical mathematical skills relevant to a business setting, the subject will delve into organising and presenting data, both in numerical and graphical formats. Microsoft Excel is embedded in the subject so that students develop their skills in a way that can be directly used in businesses.

+ Subject Availability Modes and Location

Session 1
Online	Wagga Wagga Campus
On Campus	Albury-Wodonga Campus
On Campus	Bathurst Campus
On Campus	CSU Study Centre Sydney
On Campus	Wagga Wagga Campus
Session 3
Online	Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: QBM120
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration	Grading System	School:
One session	HD/FL	School of Computing and Mathematics

Assumed Knowledge

Some understanding of mathematical concepts would be an advantage

Learning Outcomes

Upon successful completion of this subject, students should:

be able to use various fundamental concepts of mathematics, specifically relevant to business fields;
be able to work with formulas and equations to solve problems encountered in business and everyday finance;
be able to choose, generate and interpret graphs commonly encountered in business;
be able to apply a range of techniques to collect, organize, summarise, analyse and present data both graphically and numerically;
be able to utilise the outcomes of business data analysis for the purpose of making decisions, which improve business operations.

Syllabus

The subject will cover the following topics:

Basic mathematics.
Linear equations.
Working with formulas.
Financial mathematics.
Construction and interpretation of graphs.
Introduction to probability and basic statistics.
Sampling methods.
Simple linear regression and correlation.
Decision trees.
Excel tools for business.

Back

The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.